Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
Proc Natl Acad Sci U S A. 2013 Feb 5;110(6):1999-2004. doi: 10.1073/pnas.1221068110. Epub 2013 Jan 23.
Although it has been hypothesized that some of the somatic mutations found in tumors may occur before tumor initiation, there is little experimental or conceptual data on this topic. To gain insights into this fundamental issue, we formulated a mathematical model for the evolution of somatic mutations in which all relevant phases of a tissue's history are considered. The model makes the prediction, validated by our empirical findings, that the number of somatic mutations in tumors of self-renewing tissues is positively correlated with the age of the patient at diagnosis. Importantly, our analysis indicates that half or more of the somatic mutations in certain tumors of self-renewing tissues occur before the onset of neoplasia. The model also provides a unique way to estimate the in vivo tissue-specific somatic mutation rates in normal tissues directly from the sequencing data of tumors. Our results have substantial implications for the interpretation of the large number of genome-wide cancer studies now being undertaken.
虽然有人假设肿瘤中发现的一些体细胞突变可能发生在肿瘤起始之前,但关于这个主题的实验或概念数据很少。为了深入了解这个基本问题,我们制定了一个体细胞突变进化的数学模型,其中考虑了组织历史的所有相关阶段。该模型做出了预测,并通过我们的经验发现得到了验证,即自我更新组织的肿瘤中的体细胞突变数量与患者诊断时的年龄呈正相关。重要的是,我们的分析表明,在某些自我更新组织的肿瘤中,有一半或更多的体细胞突变发生在肿瘤发生之前。该模型还为从肿瘤的测序数据中直接估计正常组织中特定组织的体内体细胞突变率提供了一种独特的方法。我们的研究结果对解释目前正在进行的大量全基因组癌症研究具有重要意义。